Tipo
Artigos em Revista
Tipo de Documento
Artigo Completo
Título
Transcriptome meta-analysis reveals common differential and global gene expression profiles in cystic fibrosis and other respiratory disorders and identifies CFTR regulators
Participantes na publicação
Luka A. Clarke (Author)
BioISI
Hugo M. Botelho (Author)
BioISI - Biosystems & Integrative Sciences Institute
Dep. Química e Bioquímica
Lisete Sousa (Author)
Dep. Estatística e Investigação Operacional
CEAUL
Andre O. Falcao (Author)
Dep. Informática
LASIGE
Margarida D. Amaral (Author)
Resumo
A meta-analysis of 13 independent microarray data sets was performed and gene expression profiles from cystic fibrosis (CF), similar disorders (COPD: chronic obstructive pulmonary disease, IPF: idiopathic pulmonary fibrosis, asthma), environmental conditions (smoking, epithelial injury), related cellular processes (epithelial differentiation/regeneration), and non-respiratory "control" conditions (schizophrenia, dieting), were compared. Similarity among differentially expressed (DE) gene lists was assessed using a permutation test, and a clustergram was constructed, identifying common gene markers. Global gene expression values were standardized using a novel approach, revealing that similarities between independent data sets run deeper than shared DE genes. Correlation of gene expression values identified putative gene regulators of the CF transmembrane conductance regulator (CFTR) gene, of potential therapeutic significance. Our study provides a novel perspective on CF epithelial gene expression in the context of other lung disorders and conditions, and highlights the contribution of differentiation/EMT and injury to gene signatures of respiratory disease.
Data de Submissão/Pedido
2015-06-01
Data de Aceitação
2015-07-14
Data de Publicação
2015-07-29
Instituição
BioISI - Biosystems & Integrative Sciences Institute
Suporte
BMC GENOMICS
Identificadores da Publicação
ISSN - 0888-7543
Editora
Elsevier BV
Página Inicial
268
Página Final
277
Identificadores do Documento
URL -
http://www.sciencedirect.com/science/article/pii/s0888754315300203
DOI -
https://doi.org/10.1016/j.ygeno.2015.07.005
Identificadores de Qualidade
SCOPUS Q2 (2015) - 1.312 - Genetics
Keywords
transcriptome
differentiation
respiratory disease
Cystic fibrosis
meta-analysis